Open AccessAutomatic Assembly of Bolts and Nuts Based on Machine Vision Recognition
Author(s) -
Haocheng He
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2113/1/012033
Subject(s) - hough transform , computer vision , machine vision , artificial intelligence , production line , computer science , line (geometry) , nut , industrial robot , nuts and bolts , position (finance) , enhanced data rates for gsm evolution , robot , pixel , transformation (genetics) , image (mathematics) , engineering , mathematics , mechanical engineering , geometry , structural engineering , finance , economics , biochemistry , chemistry , gene
In this study, based on the computer vision technology, we developed a recognition system for nuts positioning to complete the automatic bolt assembly part of the automatic production line. The actual image of the nut was captured by an industrial camera, which would be processed by the following edge detection and Hough circle transformation. After that, the coordinates of the nuts were obtained in the pixel scale. Finally, the real position of nuts would be fed back to the robot arm, according to which the automatic assembly of the bolt would be completed. This computer vision based recognition system is an indispensable part for the efficiency and accuracy improvement of automatic production line.